mountains

Bio

I am Jiajing Huang, and I also go by Horatio Huang. I am currently a Ph.D. candidate in Data Science, Analytics and Engineering at Arizona State University. I have over 5 years' experience in machine learning, deep learning, statistics and biostatistics with data analysis and modeling, and statistical inferences. My current research directions include the applications of informatic framework, causal learning (e.g. causal inferences, causal modeling, causal reasoning), and developments of machine learning algorithms/big data tools, and my research projects are primarily sponsored by National Science Foundation and U.S. Department of Energy.

Education



Ph.D. candidate in Data Science, Analytics and Engineering

Arizona State University, Tempe, Arizona, U.S.A.
Dissertation: An Informatic Framework for Decision-making Support
Advisor: Prof. Teresa Wu
Present

M.S. in Industrial Engineering

Arizona State University, Tempe, Arizona, U.S.A.
12/2020

M.S. in Statistics

Rutgers, the State University of New Jersey, New Brunswick, New Jersey, U.S.A.
05/2018

B.E. in Materials Science and Engineering

Shenzhen University, Shenzhen, Guangdong, China
07/2013

Skills




Programming

Python, SAS, R, Scikit-learn, Keras/Tensorflow, PyTorch, Matlab, Java, HTML/CSS/JavaScript, Trax, OpenCV, Git

Software

MySQL, PostgreSQL, SPSS, Spark, Hadoop, Map/Reduce, AWS, Google Cloud Platform, Azure, Tableau

Data Science

Machine Learning (Supervised Learning, Unsupervised Learning, Semi-supervised Learning, Active Learning), Deep Learning (CNN, RNN), Natural Language Processing, Computer Vision, Causal Learning (Causal Inferences, Causal Reasoning, Causal Modeling), Statistical Inferences (Parametric/Nonparametric Hypothesis Testing), Data Visualization (D3, matplotlib), Version Control/Management, Database Management

Languages

English, Mandarin Chinese, Cantonese

Professional Experience



Graduate Research Associate

ASU-Mayo Center for Innovative Imaging, Arizona State University, Tempe, AZ
08/2018 - Present

Ph.D. Research Intern

Pacific Northwest National Laboratory (PNNL), Richland, WA
06/2022 - 08/2022

Research Assistant

The Cardiovascular Institute of New Jersey, Rutgers University, New Brunswick, NJ
09/2017 - 05/2018

Trainee Consultant

Hong Kong Productivity Council, Hong Kong SAR, China
10/2013 - 10/2014

Publications



Journals

  • J. Huang, H. Yoon, T. Wu, K.S. Candan, O. Pradhan, J. Wen and Z. O’Neill, “Eigen-Entropy: A metric for multivariate sampling decisions,” Information Sciences, vol. 619, pp. 84-97, 2023.
  • J. Huang, H. Yoon, O. Pradhan, T. Wu, J. Wen, Z. O’Neill and K.S. Candan, “A Cosine-based Correlation Information Entropy Approach for Building Automatic Fault Detection Baseline Construction,” Science and Technology for the Built Environment, vol. 28, no.9, pp. 1138-1149, 2022.
  • J. Huang , J. Wen, H. Yoon, O. Pradhan, T. Wu, Z. O’Neill and K.S. Candan, “Real vs. Simulated: questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective,” Energy and Buildings, vol.259, pp.111872, 2022.


    • Conference Papers/Presentations

  • J. Huang, T. Li, Y. Xu, T. Wu, H. Yoon, J.R. Charlton and K.M.Bennett, “EE-SMOTE: An oversampling method in conjunction with information entropy for imbalanced learning”, In Proceedings of 2022 IISE Annual Conference, pp. 1-6, 2022.
  • J. Huang, T. Wu, H. Yoon, O. Pradhan, J. Wen and Z. O’Neill, “Automatic Fault Detection Baseline Construction for Building HVAC Systems using Joint Entropy and Enthalpy,” In Proceedings of 2021 IISE Annual Conference , pp.536-541, 2021. (This paper is awarded Finalist in 2021 IISE Annual Conference (DAIS Track) Best Paper Award .)

    • Honors & Award



      2022-23 Graduate College Travel Award, Arizona State University
      Finalist, Data Analytics Competition, 2022 IISE Annual Conference & Expo
      GPSA Travel Award, Arizona State University
      SCAI Travel Award, Arizona State University
      2021-22 Graduate College Travel Award, Arizona State University
      Finalist, Best Paper Award Competition(DAIS Track), 2021 IISE Annual Conference & Expo
      2020-21 Graduate College Travel Award, Arizona State University
      CIDSE Doctoral Fellowship, Arizona State University
      University Scholarship (Academic Performance), Shenzhen University
      University Scholarship (Social Service), Shenzhen University
      2022
      2022
      2022
      2021, 2022
      2021, 2022
      2021
      2021
      2018
      2011
      2011

    Certifications



      SAS Certified Advanced Programmer for SAS 9, SAS
      SAS Certified Base Programmer for SAS 9, SAS
      Lean Six Sigma Green Belt, Institute of Industrial and Systems Engineers(IISE)
      2016
      2016
      2016

    Contact


    Personal email

    horatiowong0713@gmail.com

    ASU email

    jhuan177@asu.edu